Shiva AI
Shiva-AI's Citorum platform provides a secure, AI-native enterprise solution by running generative AI inference entirely within a customer's controlled environment—on-premises, in a customer-managed VPC, or in a dedicated managed cloud tenant. The platform performs retrieval-augmented generation over an organization's own document repositories, enforcing access-control attributes at retrieval time and independently adjudicating every answer for truthfulness with auditable plain-language labels. It serves regulated industries like legal, healthcare, and financial services, with connectors for systems such as iManage, Epic, and Salesforce Financial Services Cloud.
- Artificial Intelligence
- Enterprise Software
- Legal Technology
- Software Only
- Cybersecurity
Funding
Founders
Founder details are not available yet.
Product
Problem
Generative AI's most useful business applications—answering questions about private corporate data, drafting from records, and summarizing documents—require sending content to a model for interpretation. This often means transmitting material non-public information (MNPI) or protected health information (PHI) to third-party AI applications operated by unknown parties, hosted in uncontrolled jurisdictions, and running on uninspectable infrastructure, exposing organizations to intellectual property loss and regulatory violations.
Solution
Shiva-AI's Citorum platform delivers a secure, human-centered path to an AI-native enterprise by running inference entirely within the customer's controlled environment—on-premises, in a customer-managed Virtual Private Cloud (VPC), or in a dedicated Citorum-managed cloud tenant. The platform performs retrieval-augmented generation (RAG) over the organization's own document repositories, enforcing access-control attributes at retrieval time so users only see content they are entitled to view. Every answer is independently adjudicated for truthfulness, producing auditable plain-language labels such as "Verified—Cite Source," "Review Recommended," and "Do Not Rely—Consult Expert." All retrievals, prompts, responses, and confidence scores are logged with chain-of-custody metadata, with a default seven-year retention period, ensuring full auditability for regulated workflows.
Target Audience
Primary customers are regulated organizations in legal, healthcare, financial services, public sector, and compliance operations that need AI capabilities while maintaining data sovereignty, auditability, and regulatory compliance.
Features
- Hybrid retrieval pipeline combining dense vector similarity, full-text search via Postgres indexing, and metadata filtering on access-control attributes, tags, dates, and jurisdictions
- Adjudication pipeline that scores every answer against cited sources and assigns faithfulness labels before returning results
- Connectors for industry-standard document systems including iManage Work, NetDocuments, Relativity, SharePoint, Epic, Cerner, and Salesforce Financial Services Cloud
- Identity integration with existing IdPs (Okta, Microsoft Entra ID, Active Directory) so roles and access controls flow through unchanged
- FIPS 140-3 validated cryptography modules and NIST 800-53 control mapping for public-sector deployments
- Audit log capturing full lineage of every retrieval, prompt, response, and faithfulness score with configurable retention
- Zero outbound LLM API calls in default configuration; external model calls are explicit-only